3 Pandas Introduction (1).ipynb.html
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3 Pandas Introduction (1).ipynb</font>
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<pre><span class="s0">{</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;# Introuction to Pandas</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;&lt;img src=</span><span class="s3">\&quot;</span><span class="s2">https://user-images.githubusercontent.com/7065401/75165824-badf4680-5701-11ea-9c5b-5475b0a33abf.png</span><span class="s3">\&quot;\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    style=</span><span class="s3">\&quot;</span><span class="s2">width:300px; float: right; margin: 0 40px 40px 40px;</span><span class="s3">\&quot;</span><span class="s2">&gt;&lt;/img&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;# Pandas - Series</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;&lt;br&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;`Pandas` is one of the most preferred tools for data scientists to do data manipulation and analysis, next to `matplotlib` for data visualization and `NumPy`, the fundamental library for scientific computing in Python on which Pandas was built&quot;</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;import numpy as np</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;import pandas as pd&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;b25abc01&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;0     35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;1     63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2     80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;3     60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;4    127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;5     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;6    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">2</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
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    <span class="s2">&quot;# In millions</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;g7_pop = pd.Series([35.467, 63.951, 80.940, 60.665, 127.061, 64.511, 318.523])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;g7_pop&quot;</span>
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       <span class="s2">&quot;pandas.core.series.Series&quot;</span>
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    <span class="s0">}</span>
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    <span class="s2">&quot;type(g7_pop)&quot;</span>
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  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">4</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;2b192090&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;0     35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;1     63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2     80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;3     60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;4    127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;5     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;6    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">4</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.name = 'G7 population in millions'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
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    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;dtype('float64')&quot;</span>
      <span class="s0">]</span>
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     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">5</span><span class="s0">,</span>
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     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.dtype&quot;</span>
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  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">6</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;e861a0cb&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;array([ 35.467,  63.951,  80.94 ,  60.665, 127.061,  64.511, 318.523])&quot;</span>
      <span class="s0">]</span>
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     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">6</span><span class="s0">,</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.values&quot;</span>
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    <span class="s2">&quot;type(g7_pop.values)&quot;</span>
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   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;d49426ad&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;name&quot;</span><span class="s0">: </span><span class="s2">&quot;stdout&quot;</span><span class="s0">,</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;stream&quot;</span><span class="s0">,</span>
     <span class="s2">&quot;text&quot;</span><span class="s0">: [</span>
      <span class="s2">&quot;35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;63.951</span><span class="s3">\n</span><span class="s2">&quot;</span>
     <span class="s0">]</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;print(g7_pop[0])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;print(g7_pop[1])&quot;</span>
   <span class="s0">]</span>
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  <span class="s0">{</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;5a8a571f&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;RangeIndex(start=0, stop=7, step=1)&quot;</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
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    <span class="s2">&quot;g7_pop.index&quot;</span>
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      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;0     35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;1     63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2     80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;3     60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;4    127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;5     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;6    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">10</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">11</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;266291e7&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
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     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
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    <span class="s2">&quot;g7_pop.index = [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Canada',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'France',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Germany',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Italy',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Japan',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United Kingdom',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United States'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;]</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">12</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;c020b54e&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;G7 population in millions&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                G7 population in millions</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada                             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France                             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany                            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy                              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan                             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom                     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States                     318.523&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">12</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.to_frame()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;44b4abc3&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Combining everything into a single command&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">13</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ea880bb9&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 Population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">13</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7 = pd.Series({</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Canada' : 35.467,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'France' : 63.951,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Germany' : 80.94,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Italy' : 60.665,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Japan' : 127.061,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United Kingdom' : 64.511,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United States' : 318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;}, name = 'G7 Population in millions')</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;g7&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">14</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ca7ef681&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;G7 = pd.Series(</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    [35.467, 63.951, 80.940, 60.665, 127.061, 64.511, 318.523],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    index=['Canada', 'France', 'Germany', 'Italy', 'Japan', 'United Kingdom', 'United States'],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    name = 'G7 population in millions'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;)&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;8663579a&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Indexing</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Indexing works similarly to lists and dictionaries, you use the **index** of the element you're looking for:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">15</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;16560c39&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">15</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;G7&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">16</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;be15213f&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada     35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France     63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany    80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Spain         NaN</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">16</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;pd.Series(g7_pop, index = ['Canada', 'France', 'Germany', 'Spain'])&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">17</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;22c706b5&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">17</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">18</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;fac4e553&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;127.061&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">18</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop['Japan']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">19</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;728b791a&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;80.94&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">19</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop['Germany']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">20</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;dabbe147&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada    35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France    63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">20</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.iloc[[0, 1]]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">21</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;1afa5cde&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;318.523&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">21</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.iloc[-1]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">22</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;7bc77ee7&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;(80.94, 64.511)&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">22</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.iloc[2], g7_pop.iloc[-2]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">23</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f305f73f&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Italy     60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France    63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">23</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop[['Italy', 'France']]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">24</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ab57cbf9&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada     35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France     63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany    80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy      60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">24</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop['Canada':'Italy']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;171ec1aa&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Conditional selection (boolean arrays)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;The same boolean array techniques we saw applied to numpy arrays can be used for Pandas `Series`:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">25</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;28cbbe92&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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       <span class="s2">&quot;France            False</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            True</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy             False</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              True</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom    False</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
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       <span class="s2">&quot;Japan            127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
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    <span class="s2">&quot;g7_pop[g7_pop &gt; 80]&quot;</span>
   <span class="s0">]</span>
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    <span class="s2">&quot;### Statistics&quot;</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
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    <span class="s2">&quot;g7_pop.mean()&quot;</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;1c9efcc7&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;64.511&quot;</span>
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     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">29</span><span class="s0">,</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;6e8588b1&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada            35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France            63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany           80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy             60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom    64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
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     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">30</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
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    <span class="s2">&quot;g7_pop[~(g7_pop &gt; g7_pop.mean())]&quot;</span>
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  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;b16f51da&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Japan            127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
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     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">32</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop[g7_pop&gt;g7_pop.mean()]&quot;</span>
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   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">33</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f8ee331d&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">33</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
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    <span class="s2">&quot;g7_pop[(g7_pop &gt; g7_pop.mean()-g7_pop.std()/2) | (g7_pop &gt; g7_pop.mean() + g7_pop.std()/2)]&quot;</span>
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   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;252e8c8b&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s2">&quot;### Operations and methods</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Series also support vectorized operations and aggregation functions as Numpy:&quot;</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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       <span class="s2">&quot;Canada             35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">34</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">35</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;41f57dd6&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             35467000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63951000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80940000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60665000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127061000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64511000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318523000.0</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">35</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop * 1_000_000&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">36</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f97d1d85&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;107.30257142857144&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">36</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.mean()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">37</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;52992d64&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;60.25575&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">37</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop['Canada':'Italy'].mean()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;0636da0d&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Boolean arrays</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;(Work in the same way as numpy)&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">38</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;c52e1648&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada            3.568603</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France            4.158117</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany           4.393708</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy             4.105367</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             4.844667</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom    4.166836</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     5.763695</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">38</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;np.log(g7_pop)&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">39</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;1c8aa05f&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada            35.467</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany           80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan            127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States    318.523</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">39</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop[(g7_pop &gt; 80)|(g7_pop&lt;40)]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;31477e12&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Modifying series&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">40</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;7c53e82e&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop['Canada'] = 40.5&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">41</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;7366665a&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop.iloc[-1] = 500&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">42</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;b2e92d66&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             40.500</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             63.951</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              60.665</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     64.511</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     500.000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">42</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">43</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;a776d129&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop[g7_pop &lt; 70] = 99.99&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">44</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;23d8eb81&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Canada             99.990</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             99.990</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy              99.990</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     99.990</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     500.000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: G7 population in millions, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">44</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;g7_pop&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s3">null</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;a39ce4b2&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: []</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s3">null</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;d0ef3998&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: []</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;3c2c34c4&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;# Pandas - `DataFrame`s</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;&lt;img src=</span><span class="s3">\&quot;</span><span class="s2">https://user-images.githubusercontent.com/7065401/75165824-badf4680-5701-11ea-9c5b-5475b0a33abf.png</span><span class="s3">\&quot;\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    style=</span><span class="s3">\&quot;</span><span class="s2">width:300px; float: right; margin: 0 40px 40px 40px;</span><span class="s3">\&quot;</span><span class="s2">&gt;&lt;/img&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Probably the most important data structure of pandas is the `DataFrame`. It's a tabular structure tightly integrated with `Series`.&lt;br&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;&lt;br&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;A `DataFrame` is a general 2D labeled, size-mutable tabular structure with potentially heterogeneously typed coloumns. Building and handling two or more dimensional arrays is atedious task, burden is placed on the user to consider the orientation of the data set when writing functions. But using Pandas data structures, the mental effort of the user is reduced.&lt;br&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;&lt;br&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Creating `DataFrame`s manually can be tedious. 99% of the time you'll be pulling the data from a Database, a csv file or the web. But still, you can create a DataFrame by specifying the columns and values:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">45</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;481a93b1&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;import numpy as np</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;import pandas as pd&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">46</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;91a8bb35&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
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      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
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       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;0&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;1&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;3&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;4&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;5&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;6&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;   Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;0      35.467   1785387       9984670  0.913   America</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;1      63.951   2833687        640679  0.888    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2      80.940   3874437        357114  0.916    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;3      60.665   2167744        301336  0.873    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;4     127.061   4602367        377930  0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;5      64.511   2950039        242495  0.907    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;6     318.523  17348075       9525067  0.915   America&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
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    <span class="s2">&quot;df = pd.DataFrame({</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Population': [35.467, 63.951, 80.94 , 60.665, 127.061, 64.511, 318.523],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'GDP' : [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        1785387,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        2833687,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        3874437,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        2167744,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        4602367,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        2950039,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        17348075</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    ],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Surface Area': [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        9984670,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        640679,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        357114,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        301336,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        377930,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        242495,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        9525067</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    ],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'HDI': [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.913,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.888,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.916,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.873,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.891,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.907,</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        0.915</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    ],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Continent': [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'America',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Europe',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Europe',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Europe',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Asia',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Europe',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'America'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    ]</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;}, columns = ['Population', 'GDP', 'Surface Area', 'HDI', 'Continent'])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;e5b0b5d7&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;`DataFrame`s also have indexes. As you can see in the </span><span class="s3">\&quot;</span><span class="s2">table</span><span class="s3">\&quot; </span><span class="s2">above, pandas has assigned a numeric, autoincremental index automatically to each </span><span class="s3">\&quot;</span><span class="s2">row</span><span class="s3">\&quot; </span><span class="s2">in our DataFrame. In our case, we know that each row represents a country, so we'll just reassign the index:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">47</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;1e4b3fe8&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Europe     0.571429</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;America    0.285714</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Asia       0.142857</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: Continent, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">47</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df['Continent'].value_counts('Europe')&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">48</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;17e3aefb&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.index = [</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Canada',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'France',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Germany',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Italy',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'Japan',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United Kingdom',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    'United States',]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">49</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ce329445&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America&quot;</span>
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       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;25%&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;62.308000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2.500716e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3.292250e+05&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.889500&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;50%&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2.950039e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3.779300e+05&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;75%&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;104.000500&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4.238402e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;5.082873e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.914000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;max&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1.734808e+07&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9.984670e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;       Population           GDP  Surface Area       HDI</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;count    7.000000  7.000000e+00  7.000000e+00  7.000000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;mean   107.302571  5.080248e+06  3.061327e+06  0.900429</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;std     97.249970  5.494020e+06  4.576187e+06  0.016592</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;min     35.467000  1.785387e+06  2.424950e+05  0.873000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;25%     62.308000  2.500716e+06  3.292250e+05  0.889500</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;50%     64.511000  2.950039e+06  3.779300e+05  0.907000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;75%    104.000500  4.238402e+06  5.082873e+06  0.914000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;max    318.523000  1.734808e+07  9.984670e+06  0.916000&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.describe()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;db2f8b6f&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Population      float64</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;GDP               int64</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Surface Area      int64</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;HDI             float64</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Continent        object</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;dtype: object&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">56</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.dtypes&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">57</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;cbe02a48&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;float64    2</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;int64      2</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;object     1</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;dtype: int64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">57</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.dtypes.value_counts()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f5f9c09a&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Indexing, Selection and Slicing</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Individual columns in the DataFrame can be selected with regular indexing. Each column is represented as a `Series`:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">58</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;42fec0c2&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;           HDI</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France   0.888</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany  0.916&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">71</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.iloc[1:3,3].to_frame()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">72</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;6dfaac89&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;         Population      GDP Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France       63.951  2833687    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany      80.940  3874437    Europe&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">72</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.iloc[1:3,[0,1,4]]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">73</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;a3d53224&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;             GDP  Surface Area    HDI</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France   2833687        640679  0.888</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany  3874437        357114  0.916</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy    2167744        301336  0.873&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">73</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.iloc[1:4,1:4]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;dc8d8f29&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Conditional selection (boolean arrays)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;We saw conditional selection applied to `Series` and it'll work in the same way for `DataFrame`s. After all, a `DataFrame` is a collection of `Series`:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">74</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ca3951d0&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
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       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;               Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940   3874437        357114  0.916    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061   4602367        377930  0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523  17348075       9525067  0.915   America&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">76</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.loc[df['Population'] &gt; 70]&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">77</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;ba97c1cd&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;               Population</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany            80.940</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan             127.061</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States     318.523&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">77</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.loc[df['Population'] &gt; 70, 'Population'].to_frame()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;db1db102&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Dropping stuff</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Opposed to the concept of selection, we have </span><span class="s3">\&quot;</span><span class="s2">dropping</span><span class="s3">\&quot;</span><span class="s2">. Instead of pointing out which values you'd like to _select_ you could point which ones you'd like to `drop`:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">78</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;3168f098&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France              63.951   2833687        640679  0.888    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany             80.940   3874437        357114  0.916    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy               60.665   2167744        301336  0.873    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              127.061   4602367        377930  0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom      64.511   2950039        242495  0.907    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America&quot;</span>
      <span class="s0">]</span>
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       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                     GDP  Surface Area Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada           1785387       9984670   America</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France           2833687        640679    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany          3874437        357114    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy            2167744        301336    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan            4602367        377930      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom   2950039        242495    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States   17348075       9525067   America&quot;</span>
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       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America&quot;</span>
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       <span class="s2">&quot;                Population      GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada              35.467   1785387       9984670  0.913   America</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France              63.951   2833687        640679  0.888    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;Italy               60.665   2167744        301336  0.873    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              127.061   4602367        377930  0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom      64.511   2950039        242495  0.907    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America&quot;</span>
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       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;                Population       GDP</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;                Population        GDP</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada             0.35467   17853.87</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France             0.63951   28336.87</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;Italy              0.60665   21677.44</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              1.27061   46023.67</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom     0.64511   29500.39</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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    <span class="s2">&quot;crisis&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">90</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;b692e312&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;name&quot;</span><span class="s0">: </span><span class="s2">&quot;stdout&quot;</span><span class="s0">,</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;stream&quot;</span><span class="s0">,</span>
     <span class="s2">&quot;text&quot;</span><span class="s0">: [</span>
      <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;Canada              35.467   1785387       9984670  0.913   America</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;France              63.951   2833687        640679  0.888    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;Germany             80.940   3874437        357114  0.916    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;Italy               60.665   2167744        301336  0.873    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;Japan              127.061   4602367        377930  0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;United Kingdom      64.511   2950039        242495  0.907    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America</span><span class="s3">\n</span><span class="s2">&quot;</span>
     <span class="s0">]</span>
    <span class="s0">},</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;785387.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.613&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1833687.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.588&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2874437.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.616&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1167744.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.573&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3602367.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.591&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1950039.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.607&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;16348075.0&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.615&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                       GDP    HDI</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada            785387.0  0.613</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France           1833687.0  0.588</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany          2874437.0  0.616</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy            1167744.0  0.573</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan            3602367.0  0.591</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom   1950039.0  0.607</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States   16348075.0  0.615&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">90</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;print(df)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df[['GDP', 'HDI']] + crisis&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;bf3292f3&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Modifying DataFrames</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;It's simple and intuitive, You can add columns, or replace values for columns without issues:</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;### Adding a new column&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">91</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;71c75cc1&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;France      French</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany     German</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy      Italian</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: Language, dtype: object&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">91</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;langs = pd.Series(</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    ['French', 'German', 'Italian'], </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    index = ['France', 'Germany', 'Italy'], </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    name = 'Language')</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;langs&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">92</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;c5bfd717&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America      NaN&quot;</span>
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       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;French&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;German&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Italian&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;NaN&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;NaN&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;NaN&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent Language</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada              35.467   1785387       9984670  0.913   America  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France              63.951   2833687        640679  0.888    Europe   French</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany             80.940   3874437        357114  0.916    Europe   German</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy               60.665   2167744        301336  0.873    Europe  Italian</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              127.061   4602367        377930  0.891      Asia      NaN</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom      64.511   2950039        242495  0.907    Europe      NaN</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America      NaN&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">93</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.loc['Canada', 'Language'] = 'English'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;16f32603&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;---</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;### Replacing values per column&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">94</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;62976804&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;HDI&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Language&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United Kingdom&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;United States&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                Population       GDP  Surface Area    HDI Continent Language</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada              35.467   1785387       9984670  0.913   America  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France              63.951   2833687        640679  0.888    Europe  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany             80.940   3874437        357114  0.916    Europe  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy               60.665   2167744        301336  0.873    Europe  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan              127.061   4602367        377930  0.891      Asia  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United Kingdom      64.511   2950039        242495  0.907    Europe  English</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;United States      318.523  17348075       9525067  0.915   America  English&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df['Language'] = 'English'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
   <span class="s0">]</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s2">&quot;---</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;### Renaming Columns&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df = df.rename(</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    columns={</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'HDI':'Human Development Index',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'Annual Popcorn Consumption' : 'APC'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    },</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    index = {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'United States' : 'USA',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;        'United Kingdom' : 'UK'</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    })&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">96</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f8775f8f&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Human Development Index&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Language&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;English&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;CANADA       35.467   1785387       9984670                    0.913   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;FRANCE       63.951   2833687        640679                    0.888   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;ITALY        60.665   2167744        301336                    0.873   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;canada       35.467   1785387       9984670                    0.913   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada       35.467   1785387       9984670                    0.913   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.rename(index = str.capitalize)&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;f00d120d&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Dropping columns&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">100</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;57286bc8&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Human Development Index&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.873&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;UK&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;USA&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index Continent</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada       35.467   1785387       9984670                    0.913   America</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France       63.951   2833687        640679                    0.888    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany      80.940   3874437        357114                    0.916    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy        60.665   2167744        301336                    0.873    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan       127.061   4602367        377930                    0.891      Asia</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;UK           64.511   2950039        242495                    0.907    Europe</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;USA         318.523  17348075       9525067                    0.915   America&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">100</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.drop(columns='Language', inplace = True)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;2f7b345e&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Creating columns from other columns</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;Altering a DataFrame often involves combining different columns into another. For example, in our Countries analysis, we could try to calculate the </span><span class="s3">\&quot;</span><span class="s2">GDP per capita</span><span class="s3">\&quot;</span><span class="s2">, which is just, `GDP / Population`.</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;The result of that operation is just another series that you can add to the original `DataFrame`:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">101</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;d5e3f667&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Human Development Index&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP Per Capita&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;50339.385908&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;44310.284437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;47868.013343&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;301336&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35733.025633&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;36221.712406&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;UK&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2950039&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;242495&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;45729.239975&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;USA&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;17348075&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9525067&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.915&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;54464.120330&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;         Population       GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada       35.467   1785387       9984670                    0.913   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France       63.951   2833687        640679                    0.888   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany      80.940   3874437        357114                    0.916   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy        60.665   2167744        301336                    0.873   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan       127.061   4602367        377930                    0.891   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;UK           64.511   2950039        242495                    0.907   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;USA         318.523  17348075       9525067                    0.915   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        Continent  GDP Per Capita  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada    America    50339.385908  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France     Europe    44310.284437  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany    Europe    47868.013343  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy      Europe    35733.025633  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan        Asia    36221.712406  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;UK         Europe    45729.239975  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;USA       America    54464.120330  &quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df['GDP Per Capita'] = df['GDP'] / df['Population']</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Statistical information&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
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       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Population&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Surface Area&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Human Development Index&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Continent&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;GDP Per Capita&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Canada&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35.467&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1785387&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9984670&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.913&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;America&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;50339.385908&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;France&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;63.951&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2833687&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;640679&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.888&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;44310.284437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Germany&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;80.940&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3874437&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;357114&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;47868.013343&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Italy&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;60.665&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2167744&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;Europe&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;35733.025633&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Japan&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;127.061&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4602367&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;377930&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.891&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;Asia&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;36221.712406&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;         Population      GDP  Surface Area  Human Development Index Continent  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada       35.467  1785387       9984670                    0.913   America   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France       63.951  2833687        640679                    0.888    Europe   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany      80.940  3874437        357114                    0.916    Europe   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy        60.665  2167744        301336                    0.873    Europe   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan       127.061  4602367        377930                    0.891      Asia   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;         GDP Per Capita  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Canada     50339.385908  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;France     44310.284437  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Germany    47868.013343  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Italy      35733.025633  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Japan      36221.712406  &quot;</span>
      <span class="s0">]</span>
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       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;td&gt;62.308000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2.500716e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3.292250e+05&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.889500&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;40265.998421&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;50%&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;64.511000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2.950039e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;3.779300e+05&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.907000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;45729.239975&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;75%&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;104.000500&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;4.238402e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;5.082873e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.914000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;49103.699626&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;max&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;318.523000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1.734808e+07&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;9.984670e+06&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;0.916000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;54464.120330&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;       Population           GDP  Surface Area  Human Development Index  </span><span class="s3">\\\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;count    7.000000  7.000000e+00  7.000000e+00                 7.000000   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;mean   107.302571  5.080248e+06  3.061327e+06                 0.900429   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;std     97.249970  5.494020e+06  4.576187e+06                 0.016592   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;min     35.467000  1.785387e+06  2.424950e+05                 0.873000   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;25%     62.308000  2.500716e+06  3.292250e+05                 0.889500   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;50%     64.511000  2.950039e+06  3.779300e+05                 0.907000   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;75%    104.000500  4.238402e+06  5.082873e+06                 0.914000   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;max    318.523000  1.734808e+07  9.984670e+06                 0.916000   </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;       GDP Per Capita  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;count        7.000000  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;mean     44952.254576  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;std       6954.983875  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;min      35733.025633  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;25%      40265.998421  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;50%      45729.239975  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;75%      49103.699626  </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;max      54464.120330  &quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
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    <span class="s2">&quot;df.describe()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
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   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">104</span><span class="s0">,</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;population = df['Population']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
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    <span class="s0">{</span>
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      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
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    <span class="s2">&quot;population.min(), population.max()&quot;</span>
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  <span class="s0">{</span>
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    <span class="s0">{</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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    <span class="s2">&quot;population.sum() / len(population)&quot;</span>
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    <span class="s0">{</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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    <span class="s2">&quot;population.std()&quot;</span>
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  <span class="s0">},</span>
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    <span class="s0">{</span>
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    <span class="s0">{</span>
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    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;population.quantile(.25)&quot;</span>
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  <span class="s0">{</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
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       <span class="s2">&quot;Name: Population, dtype: float64&quot;</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;population.quantile([.2, .4, .6, .8, 1])&quot;</span>
   <span class="s0">]</span>
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    <span class="s2">&quot;import matplotlib.pyplot as plt&quot;</span>
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    <span class="s2">&quot;## Reading csv files using pandas and using data visualization libraries to represnt data&quot;</span>
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    <span class="s2">&quot;scrolled&quot;</span><span class="s0">: </span><span class="s3">true</span>
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   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;x = np.arange(4)&quot;</span>
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</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;Figure size 432x288 with 1 Axes&gt;&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;needs_background&quot;</span><span class="s0">: </span><span class="s2">&quot;light&quot;</span>
     <span class="s0">},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;display_data&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;plt.plot(x,x**2)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.plot(x, -1*(x**2))&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">116</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;d38874c7&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Text(0, 0.5, 'Range of (x**2)')&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">116</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">},</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;image/png&quot;</span><span class="s0">: </span><span 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</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;Figure size 864x432 with 1 Axes&gt;&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;needs_background&quot;</span><span class="s0">: </span><span class="s2">&quot;light&quot;</span>
     <span class="s0">},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;display_data&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;plt.figure(figsize=(12,6))</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.plot(x,x**2)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.plot(x, -1*(x**2))</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.title('My nice plot')</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.xlabel('Range of x')</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.ylabel('Range of (x**2)')&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">117</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;6f92d0f1&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;import numpy as np</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;import matplotlib.pyplot as plt</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;import pandas as pd</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;%matplotlib inline&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;28422d26&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;Pandas can easily read data stored in different file formats like CSV, JSON, XML or even Excel. Parsing always involves specifying the correct structure, encoding and other details. The `read_csv` method reads CSV files and accepts many parameters.&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">118</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;36316dda&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;# pd.read_csv?&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">119</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;9a3b2370&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-02 00:00:00&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;1099.169125&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;0&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-03 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.813000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;1&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-04 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.600363&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-05 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1133.079314&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;3&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-06 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1196.307937&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;4&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-07 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1190.454250&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;   2017-04-02 00:00:00  1099.169125</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;0  2017-04-03 00:00:00  1141.813000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;1  2017-04-04 00:00:00  1141.600363</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2  2017-04-05 00:00:00  1133.079314</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;3  2017-04-06 00:00:00  1196.307937</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;4  2017-04-07 00:00:00  1190.454250&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">119</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df = pd.read_csv('btc-market-price.csv')</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df.head()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;b218a277&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;The CSV file we're reading has only two columns: `timestamp` and `price`. It doesn't have a header, it contains whitespaces and has values separated by commas. pandas automatically assigned the first row of data as headers, which is incorrect. We can overwrite this behavior with the `header` parameter:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">120</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;3534fdcf&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/html&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;div&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-02 00:00:00&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;1099.169125&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;0&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-03 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.813000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;1&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-04 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.600363&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-05 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1133.079314&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;3&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;2017-04-06 00:00:00&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1196.307937&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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    <span class="s2">&quot;df['Timestamp'] = pd.to_datetime(df['Timestamp'])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df&quot;</span>
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    <span class="s2">&quot;df.dtypes&quot;</span>
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    <span class="s2">&quot;The timestamp looks a lot like the index of this DataFrame: date &gt; price. We can change the autoincremental ID generated by pandas and use the Timestamp DS column as the Index:&quot;</span>
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    <span class="s2">&quot;df.set_index('Timestamp', inplace=True)&quot;</span>
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       <span class="s2">&quot;      &lt;td&gt;1141.813000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;      &lt;th&gt;2017-04-04&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.600363&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-05&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1133.079314&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-06&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1196.307937&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-07&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1190.454250&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;Timestamp              </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-03  1141.813000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-04  1141.600363</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-05  1133.079314</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-06  1196.307937</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-07  1190.454250&quot;</span>
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   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.head()&quot;</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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       <span class="s2">&quot;Name: 2017-04-13 00:00:00, dtype: float64&quot;</span>
      <span class="s0">]</span>
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     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.loc['2017-04-13']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;2e10ac82&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;### Putting everything together</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;And now, we've finally arrived to the final, desired version of the `DataFrame` parsed from our CSV file. The steps were:&quot;</span>
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  <span class="s0">},</span>
  <span class="s0">{</span>
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   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
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    <span class="s0">{</span>
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       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Price&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Timestamp&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-02&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1099.169125&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-03&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.813000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-04&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.600363&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-05&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1133.079314&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-06&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1196.307937&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                  Price</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Timestamp              </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-02  1099.169125</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-03  1141.813000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-04  1141.600363</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-05  1133.079314</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-06  1196.307937&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
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     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df = pd.read_csv('btc-market-price.csv', header=None)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df.columns = ['Timestamp', 'Price']</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df['Timestamp'] = pd.to_datetime(df['Timestamp'])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df.set_index('Timestamp', inplace = True)</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;df.head()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">133</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;a7f80cc6&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df = pd.read_csv('btc-market-price.csv', </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    header=None, </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    names = ['Timestamp', 'Price'], </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    index_col= 0, </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;    parse_dates=True)&quot;</span>
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       <span class="s2">&quot;&lt;style scoped&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th:only-of-type {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: middle;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
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       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe tbody tr th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        vertical-align: top;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    .dataframe thead th {</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;        text-align: right;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    }</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/style&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;table border=</span><span class="s3">\&quot;</span><span class="s2">1</span><span class="s3">\&quot; </span><span class="s2">class=</span><span class="s3">\&quot;</span><span class="s2">dataframe</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr style=</span><span class="s3">\&quot;</span><span class="s2">text-align: right;</span><span class="s3">\&quot;</span><span class="s2">&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Price&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;Timestamp&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/thead&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-02&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1099.169125&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-03&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.813000&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-04&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1141.600363&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-05&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1133.079314&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;th&gt;2017-04-06&lt;/th&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;      &lt;td&gt;1196.307937&lt;/td&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;    &lt;/tr&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;  &lt;/tbody&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/table&gt;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;&lt;/div&gt;&quot;</span>
      <span class="s0">],</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;                  Price</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Timestamp              </span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-02  1099.169125</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-03  1141.813000</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-04  1141.600363</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-05  1133.079314</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;2017-04-06  1196.307937&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">134</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.head()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">135</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;4555b27e&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;Price    4193.574667</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;Name: 2017-09-29 00:00:00, dtype: float64&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">135</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.loc['2017-09-29']&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;markdown&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;51851de2&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;## Plotting basics</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;`pandas` integrates with Matplotlib and creating a plot is as simple as:&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">136</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;7e5c0160&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;image/png&quot;</span><span class="s0">: </span><span 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</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;Figure size 432x288 with 1 Axes&gt;&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;needs_background&quot;</span><span class="s0">: </span><span class="s2">&quot;light&quot;</span>
     <span class="s0">},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;display_data&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.plot()</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.show()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">137</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;c4ddb454&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;image/png&quot;</span><span class="s0">: </span><span 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</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;Figure size 432x288 with 1 Axes&gt;&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;needs_background&quot;</span><span class="s0">: </span><span class="s2">&quot;light&quot;</span>
     <span class="s0">},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;display_data&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;plt.plot(df.index, df['Price'])</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
    <span class="s2">&quot;plt.show()&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">138</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;8a9e53ef&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;DatetimeIndex(['2017-04-02', '2017-04-03', '2017-04-04', '2017-04-05',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               '2017-04-06', '2017-04-07', '2017-04-08', '2017-04-09',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               '2017-04-10', '2017-04-11',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               ...</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               '2018-03-23', '2018-03-24', '2018-03-25', '2018-03-26',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               '2018-03-27', '2018-03-28', '2018-03-29', '2018-03-30',</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;               '2018-03-31', '2018-04-01'],</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
       <span class="s2">&quot;              dtype='datetime64[ns]', name='Timestamp', length=365, freq=None)&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">138</span><span class="s0">,</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
     <span class="s2">&quot;output_type&quot;</span><span class="s0">: </span><span class="s2">&quot;execute_result&quot;</span>
    <span class="s0">}</span>
   <span class="s0">],</span>
   <span class="s2">&quot;source&quot;</span><span class="s0">: [</span>
    <span class="s2">&quot;df.index&quot;</span>
   <span class="s0">]</span>
  <span class="s0">},</span>
  <span class="s0">{</span>
   <span class="s2">&quot;cell_type&quot;</span><span class="s0">: </span><span class="s2">&quot;code&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;execution_count&quot;</span><span class="s0">: </span><span class="s4">139</span><span class="s0">,</span>
   <span class="s2">&quot;id&quot;</span><span class="s0">: </span><span class="s2">&quot;a04a91bc&quot;</span><span class="s0">,</span>
   <span class="s2">&quot;metadata&quot;</span><span class="s0">: {},</span>
   <span class="s2">&quot;outputs&quot;</span><span class="s0">: [</span>
    <span class="s0">{</span>
     <span class="s2">&quot;data&quot;</span><span class="s0">: {</span>
      <span class="s2">&quot;image/png&quot;</span><span class="s0">: </span><span 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</span><span class="s3">\n</span><span class="s2">&quot;</span><span class="s0">,</span>
      <span class="s2">&quot;text/plain&quot;</span><span class="s0">: [</span>
       <span class="s2">&quot;&lt;Figure size 1152x648 with 1 Axes&gt;&quot;</span>
      <span class="s0">]</span>
     <span class="s0">},</span>
     <span class="s2">&quot;metadata&quot;</span><span class="s0">: {</span>
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</pre>
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